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Infectious disease dynamics. Mathematical models need to integrate the increasing volume of data being generated on host - pathogen interactions. Many theoretical studies of the population dynamics, structure and evolution of infectious diseases of plants and animals, including humans, are concerned with this problem.
COVID-19 simulation models are mathematical infectious disease models for the spread of COVID-19. [1] The list should not be confused with COVID-19 apps used mainly for digital contact tracing . Note that some of the applications listed are website-only models or simulators, and some of those rely on (or use) real-time data from other sources.
Pathogenomics is a field which uses high-throughput screening technology and bioinformatics to study encoded microbe resistance, as well as virulence factors (VFs), which enable a microorganism to infect a host and possibly cause disease.
A diagram showing the infecting structures and effector delivery strategies of a model hemibiotrophic pathogen, Phytophthora infestans. Fungal effectors are proteins or non-proteinaceous molecules (such as RNAs or small molecules) secreted by pathogenic fungi into a host organism in order to modulate the host's immune response.
Gain-of-function research ( GoF research or GoFR) is medical research that genetically alters an organism in a way that may enhance the biological functions of gene products. This may include an altered pathogenesis, transmissibility, or host range, i.e., the types of hosts that a microorganism can infect. This research is intended to reveal ...
Pathogen-associated molecular patterns ( PAMPs) are small molecular motifs conserved within a class of microbes, but not present in the host. [1] They are recognized by toll-like receptors (TLRs) and other pattern recognition receptors (PRRs) in both plants and animals. [2] This allows the innate immune system to recognize pathogens and thus ...
Plant disease forecasting is a management system used to predict the occurrence or change in severity of plant diseases. At the field scale, these systems are used by growers to make economic decisions about disease treatments for control. Often the systems ask the grower a series of questions about the susceptibility of the host crop, and ...
Modelling biological systems is a significant task of systems biology and mathematical biology. [a] Computational systems biology [b] [1] aims to develop and use efficient algorithms, data structures, visualization and communication tools with the goal of computer modelling of biological systems. It involves the use of computer simulations of ...